From d4d66e0d9034fc760d19480e8f07cb2b722f3308 Mon Sep 17 00:00:00 2001 From: Andreas Tsouchlos Date: Thu, 29 May 2025 02:19:56 -0400 Subject: [PATCH] Change paper.bib --- paper.bib | 125 +++++++++++++++++++++++++++++++++++++++++++++++------- 1 file changed, 109 insertions(+), 16 deletions(-) diff --git a/paper.bib b/paper.bib index a702748..67e47e3 100644 --- a/paper.bib +++ b/paper.bib @@ -5,15 +5,101 @@ publisher={Penguin} } +@article{chen_homotopy_2015, + title = {Homotopy continuation method for solving systems of nonlinear and polynomial equations}, + volume = {15}, + issn = {15267555, 21634548}, + url = {https://link.intlpress.com/JDetail/1805790889102491649}, + doi = {10.4310/CIS.2015.v15.n2.a1}, + language = {en}, + number = {2}, + urldate = {2025-02-24}, + journal = {Communications in Information and Systems}, + author = {Chen, Tianran and Li, Tien-Yien}, + year = {2015}, + keywords = {/unread}, + pages = {119--307}, + file = {PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/AM6X2GG5/Chen and Li - 2015 - Homotopy continuation method for solving systems of nonlinear and polynomial equations.pdf:application/pdf}, +} + +@misc{reichel_numerical_2023, + title = {Numerical {Methods} for {Electrical} {Engineering}, {Meteorology}, {Remote} {Sensing}, and {Geoinformatics}}, + shorttitle = {Numerical {Methods}}, + language = {en}, + author = {Reichel, Wolfgang}, + year = {2023}, + keywords = {/unread}, + file = {PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/VPCNXBJJ/Reichel - for Electrical Engineering, Meteorology, Remote Sensing, and Geoinformatics.pdf:application/pdf}, +} + +@book{golub_matrix_2013, + edition = {fourth}, + title = {Matrix {Computations}}, + isbn = {1-4214-0794-9 978-1-4214-0794-4}, + url = {http://www.cs.cornell.edu/cv/GVL4/golubandvanloan.htm}, + publisher = {JHU Press}, + author = {Golub, Gene Howard and Van Loan, Charles Francis}, + year = {2013}, + keywords = {/unread}, + file = {PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/ECTUSDB6/Golub and Van Loan - 2013 - Matrix Computations.pdf:application/pdf}, +} + +@book{allgower_introduction_2003, + address = {Philadelphia, Pa}, + series = {Classics in applied mathematics}, + title = {Introduction to numerical continuation methods}, + isbn = {978-0-89871-544-6 978-0-89871-915-4}, + abstract = {Numerical continuation methods have provided important contributions toward the numerical solution of nonlinear systems of equations for many years. The methods may be used not only to compute solutions, which might otherwise be hard to obtain, but also to gain insight into qualitative properties of the solutions. Introduction to Numerical Continuation Methods, originally published in 1979, was the first book to provide easy access to the numerical aspects of predictor corrector continuation and piecewise linear continuation methods. Not only do these seemingly distinct methods share many common features and general principles, they can be numerically implemented in similar ways. The book also features the piecewise linear approximation of implicitly defined surfaces, the algorithms of which are frequently used in computer graphics, mesh generation, and the evaluation of surface integrals. To help potential users of numerical continuation methods create programs adapted to their particular needs, this book presents pseudo-codes and Fortran codes as illustrations. Since it first appeared, many specialized packages for treating such varied problems as bifurcation, polynomial systems, eigenvalues, economic equilibria, optimization, and the approximation of manifolds have been written. The original extensive bibliography has been updated in the SIAM Classics edition to include more recent references and several URLs so users can look for codes to suit their needs. Audience: this book continues to be useful for researchers and graduate students in mathematics, sciences, engineering, economics, and business. A background in elementary analysis and linear algebra are adequate prerequisites for reading this book; some knowledge from a first course in numerical analysis may also be helpful}, + language = {eng}, + number = {45}, + publisher = {Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)}, + author = {Allgower, Eugene L. and Georg, Kurt}, + collaborator = {{Society for Industrial and Applied Mathematics}}, + year = {2003}, + doi = {10.1137/1.9780898719154}, + keywords = {Continuation methods, Euler-Newton method, /unread}, + file = {PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/LQGFJ4LJ/Allgower and Georg - 2003 - Introduction to numerical continuation methods.pdf:application/pdf}, +} + +@book{higham_functions_2008, + title = {Functions of {Matrices}: {Theory} and {Computation}}, + isbn = {978-0-89871-646-7}, + shorttitle = {Functions of {Matrices}}, + abstract = {A thorough and elegant treatment of the theory of matrix functions and numerical methods for computing them, including an overview of applications, new and unpublished research results, and improved algorithms. Key features include a detailed treatment of the matrix sign function and matrix roots; a development of the theory of conditioning and properties of the FrŸ?chet derivative; Schur decomposition; block Parlett recurrence; a thorough analysis of the accuracy, stability, and computational cost of numerical methods; general results on convergence and stability of matrix iterations; and a chapter devoted to the f(A)b problem. Ideal for advanced courses and for self-study, its broad content, references and appendix also make this book a convenient general reference. Contains an extensive collection of problems with solutions and MATLAB? implementations of key algorithms.}, + language = {en}, + publisher = {SIAM}, + author = {Higham, Nicholas J.}, + month = sep, + year = {2008}, + note = {Google-Books-ID: 2Wz\_zVUEwPkC}, + keywords = {Mathematics / Algebra / Linear, Mathematics / Applied, Mathematics / Mathematical Analysis, Mathematics / Matrices, Mathematics / Numerical Analysis, /unread}, + file = {PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/W3DMMA3P/Higham - 2008 - Functions of Matrices Theory and Computation.pdf:application/pdf}, +} + +@article{james_w_michaels_academic_1989, + title = {Academic effort and college grades}, + volume = {68}, + journal = {Social Forces}, + author = {{James W Michaels} and {Terance D Miethe}}, + year = {1989}, + keywords = {/unread}, + pages = {309--319}, +} + @article{michaels_academic_1989, title = {Academic {Effort} and {College} {Grades}*}, volume = {68}, + issn = {0037-7732}, + url = {https://doi.org/10.1093/sf/68.1.309}, + doi = {10.1093/sf/68.1.309}, abstract = {This study examines the possibility that specification errors contribute to the Schuman et al (1985) findings of a weak relationship between study time and college grades. Our analyses investigate both main and interactive effects, measures of quantity and quality of study, and various context-specific models of college grades. In contrast to previous findings, we observe significant main and interactive effects of academic effort on college grades.}, number = {1}, + urldate = {2025-03-07}, journal = {Social Forces}, author = {Michaels, James W. and Miethe, Terance D.}, month = sep, year = {1989}, + keywords = {/unread, ⭐⭐⭐}, pages = {309--319}, file = {Full Text PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/8UXRFWEC/Michaels and Miethe - 1989 - Academic Effort and College Grades.pdf:application/pdf;Snapshot:/home/andreas/workspace/work/hiwi/Zotero/storage/2JBVD4TS/2232194.html:text/html}, } @@ -21,24 +107,31 @@ @article{dickinson_effect_1990, title = {Effect of {Quality} and {Quantity} of {Study} on {Student} {Grades}}, volume = {83}, + issn = {0022-0671}, + url = {https://www.jstor.org/stable/27540388}, abstract = {In this study we investigated the relationship between study time and test scores in a course on learning principles for college education majors. The students were required to keep a continuous log of the amount of time that they spent reading, reviewing, and organizing for the course. Weak relationships with test scores were found for total study time and time spent reviewing. A much stronger relationship was found for time spent organizing the course content. An extreme-groups analysis revealed that students with high test scores spent 40 min per week organizing compared with 10 min per week for students with low test scores. The results support the importance that information-processing theorists attribute to active learning strategies.}, number = {4}, + urldate = {2025-03-07}, journal = {The Journal of Educational Research}, author = {Dickinson, Donald J. and O'Connell, Debra Q.}, year = {1990}, note = {Publisher: Taylor \& Francis, Ltd.}, + keywords = {/unread}, pages = {227--231}, file = {JSTOR Full Text PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/8HZQXEEU/Dickinson and O'Connell - 1990 - Effect of Quality and Quantity of Study on Student Grades.pdf:application/pdf}, } @article{zulauf_use_1999, series = {Selected {Paper}}, - title = {USE OF TIME AND ACADEMIC PERFORMANCE OF COLLEGE STUDENTS: DOES STUDYING MATTER?}, + title = {{USE} {OF} {TIME} {AND} {ACADEMIC} {PERFORMANCE} {OF} {COLLEGE} {STUDENTS}: {DOES} {STUDYING} {MATTER}?}, + shorttitle = {{USE} {OF} {TIME} {AND} {ACADEMIC} {PERFORMANCE} {OF} {COLLEGE} {STUDENTS}}, + doi = {10.22004/ag.econ.21547}, abstract = {Recursive regression analysis revealed time management skills and study time were positively related with quarter GPA for 93 students in three agricultural economics courses at Ohio State University. GPA increased only 0.04 points [4.0 scale] per additional study hour, suggesting substantial improvements in GPA require substantial increases in study time}, language = {eng}, editor = {Zulauf, Carl R. and Gortner, Amy K.}, year = {1999}, - keywords = {academic performance, study time, Teaching/Communication/Extension/Profession, time management}, + note = {Num Pages: 16}, + keywords = {academic performance, study time, Teaching/Communication/Extension/Profession, time management, /unread, ⭐⭐⭐⭐⭐}, file = {PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/PM7CTJ7G/Zulauf and Gortner - 1999 - USE OF TIME AND ACADEMIC PERFORMANCE OF COLLEGE STUDENTS DOES STUDYING MATTER.pdf:application/pdf}, } @@ -56,7 +149,9 @@ author = {Rooney, Karen and Polloway, Edward A. and Hallahan, Daniel P.}, month = aug, year = {1985}, - note = {Publisher: SAGE Publications Inc}, + note = {Publisher: SAGE Publications Inc +TLDR: Investigation of the efficacy of two cognitive behavior modification procedures with a group of low functioning students in a LD self-contained class indicates that the combination was effective for all four students in improving attention-to-task and for three of the four children in percentage of accurate responses in an arithmetic task.}, + keywords = {/unread, ⭐}, pages = {384--389}, file = {SAGE PDF Full Text:/home/andreas/workspace/work/hiwi/Zotero/storage/ETX97WRA/Rooney et al. - 1985 - The Use of Self-Monitoring Procedures With Low IQ Learning Disabled Students.pdf:application/pdf}, } @@ -77,7 +172,7 @@ month = feb, year = {2023}, note = {Number: 02}, - keywords = {Distance Learning, Online Learning, Time Management}, + keywords = {Distance Learning, Online Learning, Time Management, /unread}, pages = {7731--7741}, file = {Full Text PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/FST4M46S/Napoles et al. - 2023 - The Role of Time Management to the Academic Performance of the College Students During Pandemic.pdf:application/pdf}, } @@ -98,7 +193,7 @@ year = {2014}, note = {Publisher: SRHE Website \_eprint: https://doi.org/10.1080/03075079.2012.721350}, - keywords = {academic performance, study time, higher education, learning environment, self-regulated learning, student characteristics}, + keywords = {academic performance, study time, higher education, learning environment, self-regulated learning, student characteristics, /unread, ⭐⭐⭐⭐}, pages = {621--643}, file = {Submitted Version:/home/andreas/workspace/work/hiwi/Zotero/storage/S7W5636G/Masui et al. - 2014 - Do diligent students perform better Complex relations between student and course characteristics, s.pdf:application/pdf}, } @@ -106,18 +201,14 @@ @article{plant_why_2005, title = {Why study time does not predict grade point average across college students: {Implications} of deliberate practice for academic performance}, volume = {30}, - issn = {0361-476X}, shorttitle = {Why study time does not predict grade point average across college students}, - url = {https://www.sciencedirect.com/science/article/pii/S0361476X04000384}, - doi = {10.1016/j.cedpsych.2004.06.001}, abstract = {The current work draws upon the theoretical framework of deliberate practice in order to clarify why the amount of study by college students is a poor predictor of academic performance. A model was proposed where performance in college, both cumulatively and for a current semester, was jointly determined by previous knowledge and skills as well as factors indicating quality (e.g., study environment) and quantity of study. The findings support the proposed model and indicate that the amount of study only emerged as a significant predictor of cumulative GPA when the quality of study and previously attained performance were taken into consideration. The findings are discussed in terms of the insights provided by applying the framework of deliberate practice to academic performance in a university setting.}, number = {1}, - urldate = {2025-03-07}, journal = {Contemporary Educational Psychology}, author = {Plant, E. Ashby and Ericsson, K. Anders and Hill, Len and Asberg, Kia}, month = jan, year = {2005}, - keywords = {Academic performance, Deliberate practice, Grade point average, Study habits, Study time}, + keywords = {Academic performance, Deliberate practice, Grade point average, Study habits, Study time, /unread, ⭐⭐⭐}, pages = {96--116}, file = {ScienceDirect Full Text PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/6CLRGKBL/Plant et al. - 2005 - Why study time does not predict grade point average across college students Implications of deliber.pdf:application/pdf;ScienceDirect Snapshot:/home/andreas/workspace/work/hiwi/Zotero/storage/I7AWASSH/S0361476X04000384.html:text/html}, } @@ -132,11 +223,12 @@ author = {Schuman, Howard and Walsh, Edward and Olson, Camille and Etheridge, Barbara}, month = jun, year = {1985}, + keywords = {/unread, ⭐⭐⭐⭐⭐}, pages = {945--966}, file = {Full Text PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/ST8F6X85/Schuman et al. - 1985 - Effort and Reward The Assumption that College Grades Are Affected by Quantity of Study.pdf:application/pdf;Snapshot:/home/andreas/workspace/work/hiwi/Zotero/storage/6ZFY7KPK/2232109.html:text/html}, } -@misc{e_g_williamson_relationship_nodate, +@misc{e_g_williamson_relationship_1935, title = {The relationship of number of hours of study to scholarship.}, url = {https://psycnet.apa.org/record/1936-02704-001}, abstract = {A study based on the reported hours of study of 257 freshmen at the University of Minnesota during the week just prior to mid-quarter examinations. The mean hours of study were 27.09; the {\textless}em{\textgreater}r{\textless}/em{\textgreater} between scholarship and hours of study was-.06; the {\textless}em{\textgreater}r{\textless}/em{\textgreater} between scores on the Minnesota college aptitude test and hours of study was -.20. A comparison of these results with other studies is given, and it is concluded that the location of the week used in this study probably makes the new data closer approximations to the true relationships. The student of low ability must study more than the student of high ability, but the increase will not necessarily result in much higher scholarship. (PsycINFO Database Record (c) 2016 APA, all rights reserved)}, @@ -144,7 +236,9 @@ urldate = {2025-03-07}, journal = {APA PsycNET}, author = {{E. G. Williamson}}, + year = {1935}, doi = {10.1037/h0056481}, + keywords = {/unread, ⭐⭐}, file = {PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/IIVGJSV8/The relationship of number of hours of study to scholarship..pdf:application/pdf;Snapshot:/home/andreas/workspace/work/hiwi/Zotero/storage/F4ZN6958/1936-02704-001.html:text/html}, } @@ -162,7 +256,7 @@ author = {Kember, David and Jamieson, Qun Wang and Pomfret, Mike and Wong, Eric T. T.}, month = apr, year = {1995}, - keywords = {Academic Performance, Learn Approach, Mechanical Engineering, Promising Method, Study Time}, + keywords = {Academic Performance, Learn Approach, Mechanical Engineering, Promising Method, Study Time, /unread, ⭐⭐}, pages = {329--343}, file = {Full Text PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/G8WUZWIJ/Kember et al. - 1995 - Learning approaches, study time and academic performance.pdf:application/pdf}, } @@ -180,6 +274,7 @@ author = {Schuman, Howard}, year = {2001}, note = {Publisher: [Sage Publications, Inc., American Sociological Association]}, + keywords = {/unread, ⭐⭐⭐}, pages = {73--74}, file = {JSTOR Full Text PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/AYBTRUSF/Schuman - 2001 - Comment Students' Effort and Reward in College Settings.pdf:application/pdf}, } @@ -199,7 +294,7 @@ note = {Num Pages: 11 Place: Corte Madera, CA, United States Publisher: Select Press}, - keywords = {Psychology, Social Sciences (General), Sociology}, + keywords = {Psychology, Social Sciences (General), Sociology, /unread, ⭐⭐⭐}, pages = {151--161}, file = {Full Text PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/X69I8QXV/Hill - 1990 - Effort and Reward in College A Replication of Some Puzzling Findings.pdf:application/pdf}, } @@ -218,6 +313,7 @@ Publisher: Select Press}, author = {Rau, William and Durand, Ann}, year = {2000}, note = {Publisher: [Sage Publications, Inc., American Sociological Association]}, + keywords = {/unread, ⭐⭐⭐}, pages = {19--38}, file = {JSTOR Full Text PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/H58YHZEJ/Rau and Durand - 2000 - The Academic Ethic and College Grades Does Hard Work Help Students to Make the Grade.pdf:application/pdf}, } @@ -238,15 +334,12 @@ Publisher: Select Press}, @book{stewart_probability_2009, title = {Probability, {Markov} {Chains}, {Queues}, and {Simulation}: {The} {Mathematical} {Basis} of {Performance} {Modeling}}, - isbn = {978-1-4008-3281-1}, shorttitle = {Probability, {Markov} {Chains}, {Queues}, and {Simulation}}, abstract = {Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a fundamental role. The textbook is relevant to a wide variety of fields, including computer science, engineering, operations research, statistics, and mathematics.The textbook looks at the fundamentals of probability theory, from the basic concepts of set-based probability, through probability distributions, to bounds, limit theorems, and the laws of large numbers. Discrete and continuous-time Markov chains are analyzed from a theoretical and computational point of view. Topics include the Chapman-Kolmogorov equations; irreducibility; the potential, fundamental, and reachability matrices; random walk problems; reversibility; renewal processes; and the numerical computation of stationary and transient distributions. The M/M/1 queue and its extensions to more general birth-death processes are analyzed in detail, as are queues with phase-type arrival and service processes. The M/G/1 and G/M/1 queues are solved using embedded Markov chains; the busy period, residual service time, and priority scheduling are treated. Open and closed queueing networks are analyzed. The final part of the book addresses the mathematical basis of simulation.Each chapter of the textbook concludes with an extensive set of exercises. An instructor's solution manual, in which all exercises are completely worked out, is also available (to professors only).Numerous examples illuminate the mathematical theoriesCarefully detailed explanations of mathematical derivations guarantee a valuable pedagogical approachEach chapter concludes with an extensive set of exercises}, - language = {en}, publisher = {Princeton University Press}, author = {Stewart, William J.}, month = jul, year = {2009}, - note = {Google-Books-ID: ZfRyBS1WbAQC}, keywords = {Mathematics / Applied, /unread, Computers / Data Science / Data Modeling \& Design, Mathematics / Probability \& Statistics / General, Technology \& Engineering / Engineering (General)}, file = {PDF:/home/andreas/workspace/work/hiwi/Zotero/storage/L2FEI8HG/Stewart - 2009 - Probability, Markov Chains, Queues, and Simulation The Mathematical Basis of Performance Modeling.pdf:application/pdf}, }